Fraunhofer-Gesellschaft

Frontend Engineer

• Implementation and maintenance of responsive web frontends using TypeScript and JavaScript
• Collaboration with Java backend developers and integration of RESTful APIs
• UI/UX design for energy data visualization
• Integration of AI-powered frontend components
• Technical documentation and testing

Student Assistant – Frontend Development, Data Spaces

Backend Engineer

• Implement and improve methods for automated data processing and visualization
• Create and maintain high-performance databases for measurement data
• Integrate databases with internal data processing software
• Implement new features for data visualization, processing, and automation
• Design and develop web applications for the analysis and presentation of measurement and process data
• Model physical relationships in efficient and maintainable program code
• Document work in a clear, structured, and reproducible manner
• Close coordination with process engineers and the team to align requirements

Internship – Metrology Data Management, Python Web Application Development

Administration

• Sie übernehmen die strategische und operative Verantwortung für den Verwaltungsbereich vom Fraunhofer ITMP-Standort IIP, bestehend aus Personal, Finanzen, Einkauf und IT, inklusive Personalverantwortung für das Verwaltungsteam.
• Sie entwickeln neue und optimieren bestehende Geschäftsprozesse, um effektive Abläufe für die Außenstelle Penzberg/München zu garantieren.
• Sie unterstützen die Standortleitung bei wirtschaftlich-strategischen Fragen, z. B. beim strategischen Controlling oder bei der Investitionsplanung.
• Zudem sind Sie für eine vorausschauende Personalplanung des Standortes verantwortlich.
• Als Bindeglied zwischen Wissenschaft und Verwaltung finden Sie konstruktive Lösungen für die Herausforderungen des Forschungsalltags.

Leitung Administration – All Genders

Controller

• Provide comprehensive support, advice and assistance to several institutes of the Fraunhofer-Gesellschaft on business administration matters
• Responsible for receiving, checking the plausibility of, and analysing plans and interim projections with respect to the annual result
• As the first point of contact for your institutes, answer all questions related to controlling and support/advise the institutes in further developing controlling tools based on the newly implemented SAP system at the Fraunhofer-Gesellschaft
• In your role as the expert on the financial situation of your assigned institutes, participate in the annual institute development discussions as part of the strategic development of the Fraunhofer portfolio
• You will also be available to senior department management and the department head for special assignments

Controller — Planning and Forecasting

Human Resources

• Support coordination of occupational health services for our employees
• Assist in organizing training sessions, including participant tracking, evaluations and follow-up
• Assist in organizing and following up on further training measures
• Support applicant management
• Maintain personnel data in SAP and perform regular data maintenance in Excel spreadsheets
• Scan documents and perform other administrative tasks as required

Working Student Human Resources

Data Scientist

• Identify latent structures and patterns within complex, high-dimensional data sets
• Apply methodologically adapted multivariate approaches
• Contribute to the statistical evaluation and further methodological development of data analyses conducted within the project

Data Scientist, Clustering of High-Dimensional Data

• The master's thesis involves a systematic analysis of the existing epitaxy datasets at Fraunhofer IAF with the aim of developing concrete, actionable proposals for AI-based analyses (data preparation, suitable model classes, evaluation concepts, infrastructure/tooling) to reduce experimental effort in developing new material compositions and accelerate the implementation of new ideas.
• You will perform exploratory analysis of the existing epitaxy datasets from various systems and identify potential analysis targets, e.g., prediction, anomaly detection, process understanding.
• Based on literature review and leveraging expert knowledge within the Fraunhofer network, you will assess suitable AI methods and evaluation metrics for feasibility with respect to the available data.
• You will develop a concrete implementation plan (data pipeline, model architectures, validation strategy, required resources) with recommendations and prioritized next steps.

Data-Driven Process Analyses in Epitaxy

Artificial Intelligence

• Quantified influence of different media on the meniscus/fill level at identical volumes
• Validated prediction/correction model (ML) including analysis pipeline and documentation
• Recommendations for robust LUMINA calibration in cell-culture/protein workflows (limitations, data requirements, maintenance)
• Optional: model report (Model Card) and guidelines for data extension (new media/batches)

Bachelor/Master Thesis – Influence of Protein Solutions and Additives on Wetting Using AI

Systems Engineer

• Support with scientific tasks in the GESTRA TX2 project
• Development of a state-of-the-art phased-array radar for space surveillance
• Modeling of functional and physical architectures
• Investigation of approaches for variants, system simulation, and end-to-end modeling

Student Assistant – Systems Architect

DevOps Engineer

• Assist in operating Kubernetes deployments and namespaces
• Support GitOps/CI workflows with Argo CD pipelines
• Automate tasks and tooling with shell and Java or Python scripting
• Troubleshoot build/deployment issues and improve reliability
• Contribute to documentation and apply semantics/graph concepts where relevant
• Conduct and support research in the fields of DevOps, data and system interoperability

Student Assistant – DevOps & Research, Data Spaces

• Elicitation, documentation, and review of requirements according to industry standards
• Support in verification and validation throughout the project lifecycle
• Documentation of development methods and results

Student Assistant – Systems Engineer

• Start as soon as possible in the "In-silico Toxicology" department as a Master's candidate on the topic "Methodological Development and Application of Clustering Approaches for High-Dimensional Mixed-Type Data in the VICT3R Project"
• Identification of hidden structures and patterns within complex, high-dimensional datasets
• Application of methodologically adapted multivariate techniques

Master's Thesis, Data Science, Statistics – Clustering of High-Dimensional Data

Designer

• Design and development of IP cores for low-latency, high-throughput digital signal processing
• Simulation and verification of implemented algorithms using test vectors
• Integration of IP cores into an OFDM-based physical layer
• Debugging of implemented designs within a LiFi testbed
• Collaboration with the team to optimize system design for reliability and functionality

Student Assistant – Design and Implementation of Optical Wireless Communication, LiFi, FPGAs

• You will be part of the "AI Security & Communications" department. As an AI DevSecOps Engineer, you will be the central interface between development and security.
• You will ensure that our applications are not only performant but also secure — consistently leveraging AI-driven solutions.
• Your focus will be on security reviews, co-developing secure features, and building intelligent monitoring.
• Designing, implementing, and operating monitoring solutions (preferably based on open source).
• Independently conducting security reviews and advising the development team.
• Developing and deploying AI tools for automated security checks and anomaly detection.
• Developing security-relevant components (including Python).
• Evaluating user stories for secure implementability and effort.

AI DevSecOps Engineer

Robotics

• Contribute to research in robotics and explainable AI through the development and implementation, practical application, theoretical analysis, and evaluation of AI algorithms
• Implement deep learning and generative models
• Improve models, for example with respect to efficiency, training performance, or inference behavior